Multilevel models: Applications to health data

Nigel Rice*, Alastair Leyland

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

This paper presents an introductory account of multilevel models, highlighting the potential benefits that may be gained by the use of these methods. It draws on recent applications in health services research that have appeared in the literature. Methodological advances in these statistical techniques have taken place in the field of education, where empirical studies have mainly been concerned with comparing pupil achievement across different schools by exploring the relationship between individual and institutional factors. Although recent widespread availability of suitable software packages has enabled other disciplines to adopt these methods, to date they have received little attention in the health services research literature (the investigation of effects of geographical areas on health being a possible exception) despite their obvious application in many areas of current interest. Key areas that could benefit greatly from these techniques include the exploration of variations in clinical practice, comparisons of institutional performance and resource allocation.

Original languageEnglish
Pages (from-to)154-164
Number of pages11
JournalJournal of Health Services Research & Policy
Volume1
Issue number3
DOIs
Publication statusPublished - 1 Jan 1996

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